Research Scientist, Climate Modeling
About The Position
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $167,030 - $260,570, and in addition we have generous bonus plans to provide a competitive compensation package. We seek one or more Research Scientists for a new three-year project to develop an AI-powered physics-informed hybrid climate model trained on historical data that is capable of multidecadal forecasts that are more accurate than the current state of the art. We’re looking for someone with experience in AI and earth science who is excited to push the frontier in climate model development. This position is supported by a grant with a current period of performance ending September 22, 2029. Continuation of the position beyond that date depends on renewal, extension, or identification of additional funding. Ai2 will make reasonable efforts to notify the employee if funding for the position is expected to end.
Requirements
- Substantial experience building and deploying a relevant ML application in a practical or academic research setting.
- Fluent in Python and collaborative coding practices.
- Ph. D. in computer or computational science, applied mathematics/statistics, or atmospheric science or a related geophysical science.
- At least one accepted conference paper or peer-reviewed first-authored publication making extensive use of ML.
- Demonstrated excellent communications skills.
Nice To Haves
- Formal training and/or practical experience with physically-based atmospheric, oceanic, or related model development.
- Previously held a professional or post-doctoral position using your machine learning skills.
- Experience writing machine learning code in JAX.
- Formal graduate-level ML coursework.
Responsibilities
- Designing, implementing and testing a strategy for coupling NeuralGCM with the chosen ocean model. Note that NeuralGCM is written in JAX and implemented on TPUs.
- Designing, implementing and testing a strategy for decomposing physical parameterizations and constraints into parts encoded based on physical equations vs. parts that can be learned (even for unseen climates) from historical observations.
- Presenting results at major relevant AI and climate modeling conferences and in peer-reviewed publications.
- Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and interaction with external collaborators.
- Mentoring postdocs and interns.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Employee assistance program
- Health savings account plan
- Healthcare reimbursement arrangement plan
- Health care and dependent care flexible spending account plans
- 401k plan
- Commuting or internet expenses stipend ($125/month)
- Fitness and wellbeing expenses stipend ($200/month)
- Paid sick leave (up to ten days per year)
- Paid personal days (up to seven days per year)
- Paid vacation days (up to 20 days per year)
- Paid holidays (twelve per year)
- Annual bonuses
- Long-term incentive plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
